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Next generation sequencing and de novo transcriptome analysis of Costus pictus D. Don, a non-model plant with potent anti-diabetic properties

Overview of attention for article published in BMC Genomics, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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7 X users
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2 Facebook pages

Citations

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67 Dimensions

Readers on

mendeley
174 Mendeley
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1 CiteULike
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Title
Next generation sequencing and de novo transcriptome analysis of Costus pictus D. Don, a non-model plant with potent anti-diabetic properties
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-663
Pubmed ID
Authors

Ramasamy S Annadurai, Vasanthan Jayakumar, Raja C Mugasimangalam, Mohan AVSK Katta, Sanchita Anand, Sreeja Gopinathan, Santosh Prasad Sarma, Sunjay Jude Fernandes, Nandita Mullapudi, S Murugesan, Sudha Narayana Rao

Abstract

Phyto-remedies for diabetic control are popular among patients with Type II Diabetes mellitus (DM), in addition to other diabetic control measures. A number of plant species are known to possess diabetic control properties. Costus pictus D. Don is popularly known as "Insulin Plant" in Southern India whose leaves have been reported to increase insulin pools in blood plasma. Next Generation Sequencing is employed as a powerful tool for identifying molecular signatures in the transcriptome related to physiological functions of plant tissues. We sequenced the leaf transcriptome of C. pictus using Illumina reversible dye terminator sequencing technology and used combination of bioinformatics tools for identifying transcripts related to anti-diabetic properties of C. pictus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Portugal 1 <1%
Australia 1 <1%
Unknown 171 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 23%
Student > Ph. D. Student 30 17%
Student > Master 21 12%
Student > Postgraduate 13 7%
Student > Bachelor 12 7%
Other 29 17%
Unknown 29 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 41%
Biochemistry, Genetics and Molecular Biology 28 16%
Medicine and Dentistry 8 5%
Nursing and Health Professions 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 16 9%
Unknown 36 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2015.
All research outputs
#5,738,950
of 23,891,012 outputs
Outputs from BMC Genomics
#2,204
of 10,793 outputs
Outputs of similar age
#56,551
of 281,751 outputs
Outputs of similar age from BMC Genomics
#84
of 376 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 376 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.